Triple
T17884238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grant Morrison |
E447161
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
We3
We3 is a critically acclaimed science fiction comic miniseries by Grant Morrison and Frank Quitely that follows three weaponized domestic animals on a violent, emotional quest for freedom.
|
E1293795
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: We3 | Statement: [Grant Morrison, notableWork, We3]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: We3 Context triple: [Grant Morrison, notableWork, We3]
-
A.
W3
W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
-
B.
W3
W3 is a London bus route that connects Muswell Hill with other parts of the city as part of the Transport for London network.
-
C.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
D.
W3
W3 is the 12-micron mid-infrared band of the WISE space telescope, used to observe warm dust and other mid-infrared sources in the universe.
-
E.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: We3 Triple: [Grant Morrison, notableWork, We3]
Generated description
We3 is a critically acclaimed science fiction comic miniseries by Grant Morrison and Frank Quitely that follows three weaponized domestic animals on a violent, emotional quest for freedom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: We3 Target entity description: We3 is a critically acclaimed science fiction comic miniseries by Grant Morrison and Frank Quitely that follows three weaponized domestic animals on a violent, emotional quest for freedom.
-
A.
W3
W3 is a massive, active star-forming molecular cloud complex in the Perseus Arm of the Milky Way, known for hosting numerous young stellar objects and compact H II regions.
-
B.
W3
W3 is a London bus route that connects Muswell Hill with other parts of the city as part of the Transport for London network.
-
C.
W3
W3 is a common shorthand for the World Wide Web, the global system of interlinked hypertext documents and resources accessed via the internet.
-
D.
W3
W3 is the 12-micron mid-infrared band of the WISE space telescope, used to observe warm dust and other mid-infrared sources in the universe.
-
E.
WEM
WEM is a massive shopping and entertainment complex in Edmonton, Alberta, known as one of the largest malls in North America.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49c11530881908ad98fbd0a52b1c3 |
completed | April 19, 2026, 9:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0313d7ca4881908ce9c8e9a8d44e11 |
completed | May 12, 2026, 11:49 a.m. |
| NEDg | Description generation | batch_6a0315959c3c819096a93724638a970b |
completed | May 12, 2026, 11:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03165da2a081909ad7089d5135d23c |
completed | May 12, 2026, noon |
Created at: April 10, 2026, 10:18 a.m.